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9. What you’d better to read first is...
Abstract Introduction Conclusion
In this paper, we present a new definition for An outlier in a dataset is defined informally as In this paper, we present a new definition for
outlier: cluster-based local outlier, which is an observation that is considerably different outlier: cluster-based local outlier, which is
meaningful and provides importance to the local from the remainders as if it is generated by a intuitive and provides importance to the local
data behavior. A measure for identifying the physical different mechanism. Searching for outliers is an data behavior. A measure for identifying the
significance of an outlier is designed, which is called
cluster-based local outlier factor (CBLOF). We also important area of research in the world of data physical significance of an outlier, namely
propose the FindCBLOF algorithm for discovering mining with numerous applications, including CBLOF, is also defined. Furthermore, we
outliers. The experimental results show that our credit card fraud detection, discovery of criminal propose the Find- CBLOF algorithm for
approach outperformed the existing methods on activities in electronic commerce, weather discovering outliers. The experimental results
identifying meaningful and interesting outliers. prediction, marketing and customer show that our approach out- performed existing
segmentation. methods on identifying meaningful and
interesting outliers.
Recently, some studies have been proposed on
We can get the information outlier detection (e.g., Knorr and Ng, 1998;
Ramaswamy et al., 2000; Breunig et al., 2000;
For future work, we will integrate the Find-
CBLOF algorithm more tightly with clustering
of the paper roughly. Aggarwal and Yu, 2001) from the data mining
community. This paper presents a new definition
algorithms to make the detecting process more
efficient. The designing of effective top-k
for outlier, namely cluster-based local outlier, outliersÕ detection algorithm will be also
It is okay, if you cannot which is intuitive and meaningful. This work is
motivated by the following observations.
addressed.
understand details. .... We can learn what we
should understand
We can understand the
from the paper.
relationship with previous
work, and the procedure
of the research.
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